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Intelligent Autonomous-Robot Control for Medical Applications

Computers, Materials & Continua 2021年第8期68卷 2189-2203页

作者： Rihem Farkh Haykel Marouani Khaled Al Jaloud Saad Alhuwaimel Mohammad Tabrez Quasim Yasser Fouad College of Engineering Muzahimiyah BranchKing Saud UniversityRiyadh11451Saudi Arabia Laboratory for Analysis Conception and Control of SystemsDepartment of Electrical EngineeringNational Engineering School of TunisTunis El Manar University1002Tunisia King Abdulaziz City for Science and Technology Riyadh12354Saudi Arabia College of Computing and Information Technology University of BishaBisha67714Saudi Arabia

The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a *** has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patients and to rapidly change in supply lines to manufacture the prescription goods(including medicines)that is needed to prevent infection and treatment for infected *** COVID-19 has shown the utility of intelligent autonomous robots that assist human efforts to combat a *** artificial intelligence based on neural networks and deep learning can help to fight COVID-19 in many ways,particularly in the control of autonomous medic *** officials aim to curb the spread of COVID-19 among medical,nursing staff and patients by using intelligent *** propose an advanced controller for a service robot to be used in *** type of robot is deployed to deliver food and dispense medications to individual *** autonomous line-follower robot that can sense and follow a line drawn on the floor and drive through the rooms of patients with control of its *** criteria were met by using two controllers simultaneously:a deep neural network controller to predict the trajectory of movement and a proportional-integral-derivative(PID)controller for automatic steering and speed control.

关键词： Autonomous medic robots PID control neural network control system real-time implementation navigation environment differential drive system

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Investigate the energy efficiency operation model for bulk carriers based on Simulink/Matlab

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Journal of Ocean Engineering and Science 2019年第3期4卷 211-226页

作者： Tien Anh Tran Faculty of Marine Engineering Vietnam Maritime UniversityHaiphong 180000Vietnam Marine Research Institute Vietnam Maritime UniversityHaiphong 180000Vietnam

The world is facing great challenges regarding the energy crisis and environmental *** of the main challenges is the increasing number of ships with a lot of different types and *** this research,it is essential to analyze the operational energy efficiency of sea-going ships since the previous studies have concentrated on the inland river *** working is carried out by analyzing of the energy efficiency operation for large size ships such as bulk carriers,container ships,*** on the resistance characteristics of different navigation environment factors.A numerical model of main engine energy efficiency operation was considered using the energy efficiency measure of IMO(International Maritime Organization),in particular using the Energy Efficiency Operational Indicator(EEOI)as a monitoring tool in this *** EEOI numerical model was established and simulated through Simulink/Matlab and verified by the collected data from a certain vessel in *** EEOI model was simulated under the different navigation environment conditions including various engine speed,wind speed,wave height,and water *** that,the simulation results of this research will be compared with experimental database of a certain bulk carrier namely M/V NSU JUSTICE 250,000 *** results indicated that it is important to consider the main engine speed appropriately in ship operation in order to save energy onboard and reduce the greenhouse gas emission problem.

关键词： Ship energy efficiency Bulk carrier navigation environment EEOI IMO

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